On the relationship between energy consumption, CO2 emissions and economic growth in Europe
On the relationship between energy consumption, CO2 emissions and economic growth in Europe
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DOI：
10.1016/j.energy.2010.07.009
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发表时间：
2010-12-01
期刊：
影响因子：
9
通讯作者：
Ozturk, Ilhan
中科院分区：
文献类型：
--
作者：
Acaravci, Ali;Ozturk, Ilhan
本文运用协整的自回归分布滞后(ARDL)界检验方法，对19个欧洲国家的二氧化碳排放、能源消费和经济增长之间的因果关系进行了检验。协整检验的范围F检验证明，只有丹麦、德国、希腊、冰岛、意大利、葡萄牙和瑞士的人均碳排放量、人均能源消耗、人均实际国内生产总值(GDP)和人均实际GDP的平方之间存在长期关系。累积和检验和累积平方和检验还表明，估计的参数在样本期间是稳定的。我们发现丹麦、德国、希腊、意大利和葡萄牙的排放量与能源消耗的长期正弹性估计在1%的显著水平。在丹麦和意大利，碳排放量相对于实际GDP的正长期弹性估计和关于人均实际GDP平方的负长期弹性估计分别在1%显著水平和5%显著水平下被发现。这些结果支持环境库兹涅茨曲线(EKC)假说在丹麦和意大利的有效性。本研究还利用基于误差修正的格兰杰因果关系模型探讨了变量之间的因果关系。(C)2010爱思唯尔有限公司。保留所有权利。
This study examines the causal relationship between carbon dioxide emissions, energy consumption, and economic growth by using autoregressive distributed lag (ARDL) bounds testing approach of cointegration for nineteen European countries. The bounds F-test for cointegration test yields evidence of a long-run relationship between carbon emissions per capita, energy consumption per capita, real gross domestic product (GDP) per capita and the square of per capita real GDP only for Denmark, Germany, Greece, Iceland, Italy, Portugal and Switzerland. The cumulative sum and cumulative sum of squares tests also show that the estimated parameters are stable for the sample period.We found a positive long-run elasticity estimate of emissions with respect to energy consumption at 1% significant level in Denmark, Germany, Greece, Italy and Portugal. Positive long-run elasticity estimates of carbon emissions with respect to real GDP and the negative long-run elasticity estimates of carbon emissions with respect to the square of per capita real GDP at 1% significance level in Denmark and 5% significant level in Italy are also found. These results support that the validity of environmental Kuznets curve (EKC) hypothesis in Denmark and Italy. This study also explores causal relationship between the variables by using error-correction based Granger causality models. (C) 2010 Elsevier Ltd. All rights reserved.